Information content of a route guidance system based on the characteristics of elderly drivers

Akifumi Tsuyuki, Tatsuru Daimon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Landmarks and clues outside the car that elderly drivers can easily recognize from inside the car and on a car navigation system during route navigation were extracted. In a laboratory survey, we measured the degree of awareness of logos by type of business. We then conducted a driving simulator experiment to verify the response rate, reaction distance, and line of sight direction according to the business type and store, vehicle location, shop location, and presence/absence of signboards that had good results in the laboratory survey set as variables. Results show that a vehicle navigation system should ideally use clue information outside the car that drivers can view without largely averting their eyes from the front; use clue information that is presented at a large visual angle; and use clue information that is conspicuous in color and shape and known by the elderly driver.

Original languageEnglish
Title of host publicationProceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume VI
Subtitle of host publicationTransport Ergonomics and Human Factors TEHF, Aerospace Human Factors and Ergonomics
EditorsYushi Fujita, Sebastiano Bagnara, Riccardo Tartaglia, Sara Albolino, Thomas Alexander
PublisherSpringer Verlag
Pages256-266
Number of pages11
ISBN (Print)9783319960739
DOIs
Publication statusPublished - 2019 Jan 1
Event20th Congress of the International Ergonomics Association, IEA 2018 - Florence, Italy
Duration: 2018 Aug 262018 Aug 30

Publication series

NameAdvances in Intelligent Systems and Computing
Volume823
ISSN (Print)2194-5357

Other

Other20th Congress of the International Ergonomics Association, IEA 2018
CountryItaly
CityFlorence
Period18/8/2618/8/30

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Keywords

  • Clue information
  • Navigation system
  • Route guidance

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Tsuyuki, A., & Daimon, T. (2019). Information content of a route guidance system based on the characteristics of elderly drivers. In Y. Fujita, S. Bagnara, R. Tartaglia, S. Albolino, & T. Alexander (Eds.), Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume VI: Transport Ergonomics and Human Factors TEHF, Aerospace Human Factors and Ergonomics (pp. 256-266). (Advances in Intelligent Systems and Computing; Vol. 823). Springer Verlag. https://doi.org/10.1007/978-3-319-96074-6_28